LENOVO 83HY
Geekbench AI Score
2850
Single Precision Score
1489
Half Precision Score
6857
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | rydawg |
| Upload Date | August 26 2025 06:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83HY |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2826
525.6 IPS |
|
|
Image Classification (HP)
|
100% |
744
138.3 IPS |
|
|
Image Classification (Q)
|
99% |
5130
956.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1007
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
710
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6766
110.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3377
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
3185
3.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
15045
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2379
188.7 IPS |
|
|
Object Detection (HP)
|
100% |
918
72.9 IPS |
|
|
Object Detection (Q)
|
86% |
7659
615.5 IPS |
|
|
Face Detection (SP)
|
100% |
4509
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
1848
22.0 IPS |
|
|
Face Detection (Q)
|
97% |
9632
114.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6098
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2348
18.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
13848
110.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12834
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7936
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20484
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1544
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1484
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4576
169.5 IPS |
|
|
Text Classification (SP)
|
100% |
1504
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
833
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1585
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1891
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2903
58.3 IPS |
